Triple
T21750411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cwm Sere |
E536897
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Cwm Oergwm |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Cwm Oergwm | Statement: [Cwm Sere, near, Cwm Oergwm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cwm Oergwm Context triple: [Cwm Sere, near, Cwm Oergwm]
-
A.
Cwm Oergwm
chosen
Cwm Oergwm is a glacial valley in the Brecon Beacons of Wales, known for its steep sides, remote feel, and scenic mountain surroundings.
-
B.
Cwm Gwdi
Cwm Gwdi is a popular upland car park and access point in the Brecon Beacons used as a starting base for hikes onto the central Beacons peaks.
-
C.
Cwm Cynwyn
Cwm Cynwyn is a secluded glacial valley in the Brecon Beacons of Wales, known for its steep grassy slopes and dramatic mountain scenery.
-
D.
Cwm Llan
Cwm Llan is a scenic mountain valley on the slopes of Snowdon in Snowdonia, Wales, known for its rugged landscape, waterfalls, and historical mining remains.
-
E.
Cwm Cywarch
Cwm Cywarch is a remote, steep-sided valley in southern Snowdonia, Wales, known for its rugged mountain scenery and popular hillwalking routes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a79fb74819098a247c4f31598a8 |
completed | April 28, 2026, 2:24 a.m. |
Created at: April 16, 2026, 6:50 p.m.